What does it take to move into the era of large-scale data analytics? Data warehousing experts from Barnes & Noble, BNP Paribas, Cabelas, McAfee and more share insights on innovative big-data deployments.
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With its move to in-database processing, Cabela's had to "retrain statisticians to think outside of standard SAS and be more SQL-based, but they were flexible and made the transition," says Wynkoop. Direct-mail analyses that used to require 7.5 statistician full-time-equivalents now require just 1.5 FTEs.
The Agile ArchiveWhen it comes to managing data, donít look at backup and archiving systems as burdens and cost centers. A well-designed archive can enhance data protection and restores, ease search and e-discovery efforts, and save money by intelligently moving data from expensive primary storage systems.
2014 Analytics, BI, and Information Management SurveyITís tried for years to simplify data analytics and business intelligence efforts. Have visual analysis tools and Hadoop and NoSQL databases helped? Respondents to our 2014 InformationWeek Analytics, Business Intelligence, and Information Management Survey have a mixed outlook.